AWS DevOps

Job Title: Senior Devops Engineer (Full-time)

Location: Mumbai, Onsite

Experience Required: 5+ Years

Job Description

We are seeking an experienced DevOps Engineer to build and manage infrastructure for a FinTech product company operating with stateful microservices. The deployment environments include hybrid cloud and on-premise setups. The ideal candidate must have strong production experience with Kubernetes, cloud platforms, and infrastructure automation.

Key Responsibilities

• Design, build, and manage infrastructure for stateful microservices (databases, queues, caching layers).
• Work on Kubernetes environments—both managed (EKS/AKS/GKE) and self-managed clusters.
• Build, enhance, and maintain custom Helm Charts for complex deployments.
• Set up and manage CI/CD pipelines using ArgoCD, FluxCD, or similar GitOps tools.
• Architect and optimize multi-tenant deployment models.
• Implement and manage high availability, load balancing, certificate management (SSL/TLS).
• Design deployment architectures based on business requirements.
• Manage cloud infrastructure on AWS/Azure including VPC, IAM, cloud networking, and security.
• Work with Infrastructure-as-Code (IaC) tools (Terraform/CloudFormation/Pulumi), including writing reusable modules.
• Monitor, troubleshoot, and optimize performance across production environments.
• Ensure security best practices in networking, access control, and secrets management.

Mandatory Skills

• 5+ years of DevOps experience in product-based companies (not services/consulting).
• Strong hands-on experience with stateful microservices in production.
• Deep expertise in Kubernetes (managed + self-managed).
• Strong ability to write custom Helm Charts.
• Experience with multi-tenant production environments.
• Expertise in AWS or Azure (cloud networking, IAM, VPC, security groups, etc.).
• Experience setting up GitOps-based CI/CD (ArgoCD/FluxCD).
• Strong understanding of HA, load balancing, DNS, SSL/TLS certificates.
• Ability to justify architectural decisions and propose deployment designs.
• Hands-on experience with IaC tools and writing custom Terraform/Pulumi modules.

Nice to Have

• Exposure to hybrid cloud deployments
• Knowledge of on-premise orchestration & networking
• Experience with service mesh (e.g., Istio, Linkerd)
• Experience with monitoring/logging tools (Prometheus, Grafana, Loki, ELK)

Multi-Cloud Operations: Minimum 2 public clouds (GCP & Azure preferred) Kubernetes: 

Strong hands-on experience with production clusters DevOps: CI/CD pipelines, automation, IaC (Terraform preferred)

Troubleshooting: Deep Linux, networking, performance, and distributed systems debugging 

Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines

OVERVIEW

We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.

The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.

CORE TECHNICAL REQUIREMENTS

Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.

Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.

CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.

Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.

PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.

Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.

WHAT YOU WILL OWN

Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.

Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.

VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.

Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.

Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.

Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.

WHAT SUCCESS LOOKS LIKE

Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.

ENGINEERING STANDARDS

Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.

Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.

Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.

Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.

CURRENT ENVIRONMENT

GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.

WHAT WE ARE LOOKING FOR

Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.

Calm Under Pressure: When production breaks, you diagnose methodically.

Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.

Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.

EDUCATION

University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Electrum is looking for an experienced and proficient DevOps Engineer. This role will provide you with an opportunity to explore what’s possible in a collaborative and innovative work environment. If your goal is to work with a team of talented professionals that is keenly focused on solving complex business problems and supporting product innovation with technology, you might be our new DevOps Engineer. With this position, you will be involved in building out systems for our rapidly expanding team, enabling the whole engineering group to operate more effectively and iterate at top speed in an open, collaborative environment. The ideal candidate will have a solid background in software engineering and a vivid experience in deploying product updates, identifying production issues, and implementing integrations. The ideal candidate has proven capabilities and experience in risk-taking, is willing to take up challenges, and is a strong believer in efficiency and innovation with exceptional communication and documentation skills.

YOU WILL:

• Plan for future infrastructure as well as maintain & optimize the existing infrastructure. 
• Conceptualize, architect, and build:
• 1. Automated deployment pipelines in a CI/CD environment like Jenkins;
• 2. Infrastructure using Docker, Kubernetes, and other serverless platforms; 
• 3. Secured network utilizing VPCs with inputs from the security team. 
• Work with developers & QA team to institute a policy of Continuous Integration with Automated testing Architect, build and manage dashboards to provide visibility into delivery, production application functional, and performance status.
• Work with developers to institute systems, policies, and workflows which allow for a rollback of deployments. 
• Triage release of applications/ Hotfixes to the production environment on a daily basis.
• Interface with developers and triage SQL queries that need to be executed in production environments.
• Maintain 24/7 on-call rotation to respond and support troubleshooting of issues in production.
• Assist the developers and on calls for other teams with a postmortem, follow up and review of issues affecting production availability.
• Scale Electum platform to handle millions of requests concurrently.
• Reduce Mean Time To Recovery (MTTR), enable High Availability and Disaster Recovery

PREREQUISITES:

• Bachelor’s degree in engineering, computer science, or related field, or equivalent work experience.
• Minimum of six years of hands-on experience in software development and DevOps, specifically managing AWS Infrastructures such as EC2s, RDS, Elastic cache, S3, IAM, cloud trail, and other services provided by AWS.
• At least 2 years of experience in building and owning serverless infrastructure.
• At least 2 years of scripting experience in Python (Preferable) and Shell Web Application Deployment Systems Continuous Integration tools (Ansible).
• Experience building a multi-region highly available auto-scaling infrastructure that optimizes performance and cost.
• Experience in automating the provisioning of AWS infrastructure as well as automation of routine maintenance tasks.
• Must have prior experience automating deployments to production and lower environments.
• Worked on providing solutions for major automation with scripts or infrastructure.
• Experience with APM tools such as DataDog and log management tools.
• Experience in designing and implementing Essential Functions System Architecture Process; establishing and enforcing Network Security Policy (AWS VPC, Security Group) & ACLs.
• Experience establishing and enforcing:
• 1. System monitoring tools and standards
• 2. Risk Assessment policies and standards
• 3. Escalation policies and standards
• Excellent DevOps engineering, team management, and collaboration skills.
• Advanced knowledge of programming languages such as Python and writing code and scripts.
• Experience or knowledge in - Application Performance Monitoring (APM), and prior experience as an open-source contributor will be preferred.

Company Name: Petpooja!

Location: Ahmedabad

Designation: DevOps Engineer

Experience: Between 2 to 7 Years

Candidates from Ahmedabad will be preferred

Job Location: Ahmedabad

Job Responsibilities: - -

• Planned, implement, and maintain the software development infrastructure.
• Introduce and oversee software development automation across cloud providers like AWS and Azure
• Help develop, manage, and monitor continuous integration and delivery systems
• Collaborate with software developers, QA specialists, and other team members to ensure the timely and successful delivery of new software releases
• Contribute to software design and development, including code review and feedback
• Assist with troubleshooting and problem-solving when issues arise
• Keep up with the latest industry trends and best practices while ensuring the company meets configuration requirements
• Participate in team improvement initiatives
• Help create and maintain internal documentation using Git or other similar applications
• Provide on-call support as needed

Qualification Required:

1. You should have Experience handling various services on the AWS cloud.

2. Previous experience as a Site reliability engineer would be an advantage.

3. You will be well versed with various commands and hands-on with Linux, Ubuntu administration, and other aspects of the Software development team requirement.

4. At least 2 to 7 years of experience with managing AWS Services such as Auto Scaling, Route 53, and various other internal networks.

5. Would recommend if having an AWS Certification.

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

Job Description :

• Extensive exp. with K8s (EKS/GKE) and k8s eco-system tooling e,g., Prometheus, ArgoCD, Grafana, Istio etc.
• Extensive AWS/GCP Core Infrastructure skills
• Infrastructure/ IAC Automation, Integration - Terraform
• Kubernetes resources engineering and management
• Experience with DevOps tools, CICD pipelines and release management
• Good at creating documentation(runbooks, design documents, implementation plans )

Linux Experience :

1. Namespace
2. Virtualization
3. Containers

Networking Experience

1. Virtual networking
2. Overlay networks
3. Vxlans, GRE

Kubernetes Experience :

Should have experience in bringing up the Kubernetes cluster manually without using kubeadm tool.

Observability                              

Experience in observability is a plus

Cloud automation :

Familiarity with cloud platforms exclusively AWS, DevOps tools like Jenkins, terraform etc.

• Defining and documenting best practices and strategies regarding application deployment and infrastructure maintenance
• Providing guidance, thought leadership and mentorship to development teams to build cloud competencies
• Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful design
• Managing cloud environments in accordance with company security guidelines
• Developing and implementing technical efforts to design, build and deploy AWS applications at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling and advanced analytics
• Participating in all aspects of the software development life cycle for AWS solutions, including planning, requirements, development, testing, and quality assurance
• Troubleshooting incidents, identifying root cause, fixing and documenting problems and implementing preventive measures
• Educating teams on the implementation of new cloud-based initiatives, providing associated training as required

Desired Candidate Profile

• Bachelor’s degree in computer science, information technology
• 2+ years of experience as architect, designing, developing, and implementing cloud solutions on AWS platforms
• Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytic
• Proven ability to collaborate with multi-disciplinary teams of business analysts, developers, data scientists and subject matter experts
• Self-motivation with the ability to drive features to delivery
• Strong analytical and problem solving skills
• Excellent oral and written communication skills
• Good logical sense, strong technical skills and the ability to learn new technologies quickly
• AWS certifications are a plus
• Knowledge of web services, API, REST, and RPC    

• Degree in Computer Science or related discipline.
• AWS Certified Solutions Architect certification required
• 5+ years of architecture, design, implementation, and support of highly complex solutions (i.e. having an architectural sense for ensuring security and compliance, availability, reliability, etc.)
• Deep technical experience in serverless AWS infrastructure
• Understanding of cloud automation and orchestration tools and techniques including git, terraform, ARM or equivalent
• Create Technical Design documents, understand technical designs and translate into the application requirements.
• Exercise independent judgment in evaluating alternative technical solutions
• Participate in code and design review process
• Write unit test cases for quality check of the deliverables
• Ability to work closely with others in a team environment as well as independently
• Proven ability to problem solve and troubleshoot
• Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts
• Excellent English communication skills are required

We are looking for a Solution Architect with at least 5 years’ experience working on the following to join our growing team:

• AWS
• Postgresql
• EC2 on AWS
• Cognito
• and most importantly Serverless

You will need a strong technical AWS background focused on architecting on serverless (eg Lambda) AWS infrastructure.